The disclosure requires the U.S. Provisional Application No.61/770 submitting on February 27th, 2013, the rights and interests of 053 priority under 35U.S.C. § 119 (e), and its open integral body with it is merged in this paper by reference.
Embodiment
Fig. 1 shows the diagram for the example of the system 100 of the estimated position of definite base station.This base station can be the cell tower 101a of for example cellular communications networks or the access point 102a of WLAN (wireless local area network) (WLAN) or Wireless Personal Network (WPAN).Base station conventionally can broadcast beacon signals, and beacon signal provides detection (or being connected to) its necessary key message for mobile device 104a.A plurality of base station 101a and 102a can be distributed in geographic area.
Cell tower 101a can be used various cellular technologies to communicate by letter with mobile device 104a in the distance longer than access point 102a.In some embodiments, cell tower 101a can be mobile communication (GSM) network for having General Packet Radio Service (GPRS) or the cell tower that strengthens the GSM evolvement network (EDGE) of data rate.In some embodiments, cell tower 101a can be the cell tower of Universal Mobile Telecommunications System (UMTS) network or Long Term Evolution (LTE) network.The cell tower 101a of cellular communications networks can broadcast beacon signals, this beacon signal provides identifier (for example for a plurality of mobile device 104a and 104b, community global identifier), to be connected to it when mobile device 104a and 104b are in the communication range of cell tower 101a.A plurality of cell tower 101a, 101b and 101c can be available to mobile device 104a.Go out as shown in Figure 1, mobile device 104a can be connected to cell tower 101a, and cell tower 101a can serve mobile device 104a.Serving cell tower 101a can provide telephone service and/or network (for example, the Internet) access to mobile device 104a.Although mobile device 104a is connected to Serving cell tower 101a, mobile device can receive beacon signal from neighbor cell tower 101b and 101c.
Access point 102a can communicate by letter with mobile device 104a by various communication protocol.In some embodiments, access point 102a can be the access point of WiFi network, can use agreement based on Institute of Electrical and Electric Engineers (IEEE) 802.11 (for example, IEEE802.11n) to implement WiFi network.In some embodiments, access point 102a can be the access point that can use the blueteeth network that the agreement based on IEEE802.15 implements.Access point 102a can broadcast beacon signals, this beacon signal provides identifier (for example for a plurality of mobile device 104a and 104b, media access control (MAC) address), to be connected to it when mobile device 104a and 104b are in the communication range of access point 102a.A plurality of access point 102a, 102b, 102c and 102d can be available to mobile device 104a for connecting.These identifiers do not need to be connected the access point that maybe can be connected with mobile device and are associated.For example, the mobile device 104a for example, locating at ad-hoc location (, airport) can in for example one to the communication range of 20 access points.Mobile device 104a can be connected to the access point more less than the access point within the scope of it (due to, for example, the safety of access point and mobile device arranges).Mobile device 104a can be connected to one or more access points on one's own initiative, or is not connected to access point.No matter whether mobile device 104a is connected to access point, all identifiers of the access point being received by mobile device can be used in location estimation.As shown in Figure 1, mobile device 104a is also positioned at the communication range of access point 102a except access point 102b, 102c and 102d.Under the wireless communication protocol that mobile device 104a is used in WiFi network, can identify access point 102a, 102b, 102c and 102d.Can identify access point 102a, 102b, 102c and 102d by the MAC Address of access point.
System 100 can be determined the position data for example, being associated with base station (, cell tower 101a and/or access point 102a).The position data being associated with each base station can comprise that the geographical position of identifier information, this base station, the uncertainty value in geographical position that each is estimated are, the signal transmission scope of the overlay area length of this base station and this base station.Server 105 can be in real time or in the specific time or during special time period, determines operation independently with the position of mobile equipment of mobile device 104a, determines position data.Server 105 can comprise the one or more system for computer that are connected to mobile device 104a by wired or wireless communication network.
System 100 can, based on from being positioned at the mobile device 104a of communication range of base station 101a and 102a and the known location of 104b, be determined the position data being associated with base station.Each can comprise mobile device 104a and 104b for circuit and the transducer of (such as what provided by GPS) stationkeeping ability are provided.GNSS receiver (for example, gps receiver) can be built in each mobile device in mobile device 104a and 104b, or is coupled with each mobile device in mobile device 104a and 104b, so that the access of location information to be provided.In outdoor environment, mobile device 104a can carry out for the position of mobile equipment of run location aware application and determine operation, carrys out the specific function of enforcing location (for example, point of interest search).In response to request, mobile device 104a can communicate by letter with satellite 103a, 103b and 103c by GNSS receiver, fetches satellite information signal to determine the transit time (transit time) of each signal and by calculating it with the light velocity from the distance of satellite 103a, 103b and 103c.Mobile device 104a can be used calculated distance, the position of satellite 103a, 103b, 103c, and navigation equations is determined its geographical position.This position can represent by geographical coordinate, and geographical coordinate comprises latitude coordinate, longitude coordinate and the height coordinate of mobile device 104a.
At mobile device 104a, be arranged in the geographic area of the communication range of base station 101a and 102a, mobile device 104a can (for example be associated with single position, the positive transfixion of mobile device, makes mobile device 104a to carry out point of interest search with this position).Because mobile device 104a can follow the tracks of with its position its motion, mobile device 104a can be associated with a plurality of positions.In the example shown in Fig. 1, mobile device 104a or 104b can be associated with triangle in Fig. 1 or circular represented a plurality of positions.
When mobile device 104a and 104b are for example positioned at, in the communication range of certain base station (, cell tower 101a or access point 102a), mobile device 104a and 104b can be by base station to server 105 transmission anonymous location information.In some embodiments, mobile device 104a and 104b can be to cell tower 101a transmission anonymous location information.Cell tower 101a can, by the communication access to wide area network (WAN) 107 (such as the Internet) is provided with gateway 106, come to this transmission of server 105 relayings.In some embodiments, mobile device 104a and 104b can be to access point 102a transmission anonymous location information.Access point 102a can, by the communication access to WAN107 (such as the Internet) is provided, come to this transmission of server 105 relayings.
Server 105 can usage data be fetched operation, data processing operation and base station and is estimated that operation generates position data.Data retrieval operation can comprise, in real time or in the specific time or during the specific time period, for example, from a plurality of mobile devices (, mobile device 104a and 014b) or the single mobile device 104a with a plurality of positions, collect anonymous location information.Data point in anonymous location information can comprise with the identifier of base station (for example, the community global identifier of cell tower 101a or the MAC Address of access point 102a) position of the mobile device 104a that is associated, and the additional information relevant with communication between this mobile device and this base station.This additional information can be included in the received signal strength indicator (RSSI) being associated with this base station that mobile device 104a place is measured.In some embodiments, this additional information can comprise the two-way time of the signal between this mobile device and this base station.Data retrieval operation can produce the set of identifiers of base station.Each identifier in base station identifier can mark (tag) mobile device location sets.Each position in position of mobile equipment can mark RSSI value.
Data processing operation can filter the receiving position of mobile device 104a, makes to use the position of mobile device rather than the position of a large amount of mobile device of limited number in estimating the position of base station.Can be based on various factors, for example the overlay area length of base station and the signal transmission scope of base station are filtered.
Base station estimates that operation can comprise location estimation and parameter Estimation.Location estimation can generate according to the receiving position of mobile device 104 the uncertainty value in geographical position He each geographical position of each base station.Base station location is estimated to adopt weighting function to calculate the geographical position of each base station by the position collecting to being associated with each base station.Base station location is estimated the location assignment weight that can collect to each.Base station location is estimated to comprise the position of weighting is averaging.Base station location is estimated the geographical position of estimation that can be based on each base station, determines the uncertainty value in each geographical position with the receiving position of mobile device 104a.Further details to the geographical position of the location assignment weight collecting and calculation base station will discussed in more detail referring to Fig. 5.
Parameter Estimation can generate the overlay area length of base station (for example, cell tower 101a and access point 102a).The distance that the overlay area length of base station can indicative of desired base station can mobile device 104a how far be observed.Can determine overlay area length by application boundary box (bounding box) process.In some embodiments, can use extreme point (for example, the point in east side, west side, north side and southern side) to determine that Bounding Box is as rectangular area, this rectangular area comprises the geographical position as the estimation of the base station of rectangular centre.Can use the location sets of mobile device 104 to calculate the extreme point in the border of Bounding Box.Bounding Box can be rectangular area.By the position distribution of hypothesis mobile device 104 in location sets, can be the Gaussian Profile on an average of geographical position of the estimation that comprises base station, threshold percentage that can use location be determined overlay area length.The threshold percentage of position can have preassigned value (for example, percent 95 with reflection to the confidence of estimating).In Bounding Box, overlay area length can comprise the locational threshold percentage of the communication range that is positioned at base station.Overlay area length can be corresponding to the longest distance between two extreme points in Bounding Box.
Parameter Estimation can generate the signal transmission scope of base station (for example, cell tower 101a and access point 102a).How far the signal transmission scope of each base station can be indicated with expecting base station can measure corresponding RSSI value by mobile device 104.The distribution of the RSSI value that mobile device 104 places by hypothesis in location sets receive can be to comprise RSSI value Gaussian Profile on an average, and the interval threshold percentage that can determine the RSSI value that will use of statistics tolerance is to calculate signal transmission scope.The threshold percentage of RSSI value can have preassigned value (for example, percent 95 with reflection to the confidence of estimating).Signal transmission scope can be the value corresponding to minimum RSSI, measures a certain percentage of RSSI value in location sets within the scope of this signal transmission.
Fig. 2 is the diagram that the example that the base station location of the position-based set of mobile device 204 is estimated is shown.Mobile device 204 can be for example the combination of any two kinds or other data processing equipment in handheld computer, personal digital assistant, cell phone, smart phone, enhancement type general use grouping wireless electricity service (EGPRS) mobile phone, media player, navigator or these data processing equipments.
Mobile device 204 can be the mobile device of enabling GNSS that is positioned at the communication range of cell tower 201.Cell tower 201 can be broadcasted provides identifier (for example, community global identifier) for the connected beacon signal of wireless device 204.Mobile device 204 is connected to cell tower 201.Cell tower 201 can be mobile device 204 services.Cell tower 201 can provide telephone service and/or network (for example, internet) access for mobile device 204.Mobile device 204 is in the communication range of a plurality of access point 202a and 202b.Access point 202a and 202b can broadcast separately provides identifier (for example, MAC Address) for the connected beacon signal of wireless device 204.Mobile device 204 for example may be connected to an access point in access point due to the security settings of access point and mobile device inactively.Yet all identifiers of the access point that mobile device 204 receives can be used to use in the position of estimating base station.Mobile device 204 can move, and mobile device 204 is associated, as shown in a plurality of triangles in Fig. 2 with a plurality of positions in overlay area in cell tower 201.
Mobile device 204 can send anonymous location information to cell tower 201.Cell tower 201 can be by providing next to server (such as the server 105 of Fig. 1) this transmission of relaying to the communication access of WAN by means of gateway.Server can come geographical position, the uncertainty value being associated with geographical position, the overlay area length being associated with base station of calculation base station (for example, cell tower 201, access point 202a and access point 202b) and the signal transmission scope being associated with base station with the set of the anonymous location information receiving.
The geographical position (for example, position 206,208,210) of the estimation of the base station being weighted (for example, cell tower 201, access point 202a and access point 202b) can correspondingly be comprised in geographic zone 212,214,216.Each geographical position in the geographical position 206,208,210 of the estimation in geographic zone 212,214,216 can comprise dimension coordinate and longitude coordinate.The geographical position 206,208,210 of estimating need to be corresponding to the physical geographical position of base station 201,202a, 202b.As the example shows, the physical location of base station 202a is within the physics area 216 being associated with base station 202a.
Each geographical position in the geographical position 206,208 and 210 of estimating can be associated with uncertainty value.Uncertain value can be indicated the estimation accuracy in the geographical position of each estimation in the geographical position 206,208,210 of estimation.Uncertain value can be denoted as the radius (for example R2) for example, being associated with the center of geographic zone (206).Center 206 can be the geographical position of the estimation of base station 201, and it can be the center of circle of circle (for example 212).In the example shown, uncertain value can be represented as radius R 2, R4 and the R6 being associated with the geographical position 206,208 and 210 of estimating respectively.
Each base station in base station 201,202a and 202b can be associated with radius coverage area.Radius coverage area can determine that any mobile device most probable of the communication range that is positioned at base station is positioned at region where.Radius coverage area can be denoted as the radius (for example R1) being associated with center 206.Center 206 can be the geographical position of the estimation of base station 201, and this can be the center of circle of circle (for example 220).In the example shown, the value of covering area radius can be represented as radius R 1, R3 and the R5 being associated with the geographical position 206,208 and 210 of estimating respectively.
Fig. 3 illustrates for determining the block diagram of functional part of example of server system 300 of position of the estimation of base station.Server system 300 can comprise the data (for example, the anonymous location information of reception) of one or more processors, storing received and one or more memory devices and other hardware or the software part of position data.Server system 300 can be the subsystem with reference to the described system 100 of Fig. 1.
System 300 can receive data from the various mobile devices that are wirelessly connected with server system 300 by various base stations.Data can comprise can indicate one or more GNSS of enabling mobile device (for example, mobile device 104a or 104b) position a plurality of data points, indication mobile device 104 detected which base station base station identifier (for example, and as the RSSI value being associated with base station measured at mobile device 104 places the MAC Address of cell tower 101 community global identifier or access point 102).
Data obtainer 302 can comprise data reception module 311, it can be by network interface (for example, for realizing the software of the communication protocol such as transmission control protocol/Internet Protocol (TCP/IP), HTTP (HTTP) etc.) receive the data that send from enabling the mobile device of GNSS, and data directory module 312.Data directory module 312 can be the assembly of data obtainer 302, is configured to carry out various processing in the data that receive.The information classification that the identifier of the base station that for example, data directory module 312 can be based on detecting is associated the base station with being stored in base station information table 308.Data directory module 312 can also be based on the time period by the packet receiving.For example, can on the configurable time period, create the new set of the data that receive.
The set of the data that receive can be stored in ephemeral data storage vault 321.Ephemeral data storage vault 321 can comprise OO storage vault, ad-hoc storage vault or be related to storage vault.Can be about system 300 local or trustship ephemeral data storage vault 321 remotely.
Data processor 304 can comprise the first data filter 313.The first data filter 313 is configured to analyze data point and the one or more outliers of data filtering from receiving that receive.The geographical position that the one or more outliers of filtering can reduce the estimation of defective base station is used in the possibility in subsequent calculations.The further details of filtering outlier will be described referring to Fig. 4.Outlier Data point can be stored in bad data storage vault 322.Can be about system 300 local or trustship bad data storage vault 322 remotely.
Data combiner 314 can be the assembly of data processor 304.It can be to accept to merge from current data and the historical data of the first data filter 313 that data combiner 314 is configured to.Can receive historical data from historical data storage vault 324.Identifier (for example, MAC Address) and the mobile country code (MCC) that for example, can comprise in some embodiments, access point with access point (, the access point 102a) current data point being associated.Data combiner 314 can use about the information of MCC and MAC classifies the historical data from historical data storage vault 324.In some embodiments, with cell tower (for example, cell tower 101a) current data point being associated can comprise community global identifier, such as mobile country code (MCC), mobile network code, MNC (MNC), local zone code (LAC) and cell identifier (cell i d).Data combiner 314 for example can use, about the information of community global identifier (, MCC, MNC, LAC and cell i d) historical data of storage in historical data storage vault 324 is divided into groups.Can in historical data storage vault 324, store the data that merge.Historical data storage vault 324 can comprise OODB Object Oriented Data Base, ad-hoc database or relational database.Can be about system 300 this locality or remotely trustship historical data storage vaults 324.
Data processor 304 can also comprise the second data filter 315.The second data filter 315 is configured to analyze the data point of merging and the one or more outliers of filtering from the data that merge.The geographical position that the one or more outliers of filtering can reduce the estimation of defective base station is used in the possibility in subsequent calculations.The further details of filtering outlier will be described referring to Fig. 4.
Position estimator 306 can comprise location estimation device 316.Can utilize location estimation device 316 in the set of specific data point, to determine the position of the estimation of base station (for example, access point 102a).The geographical position of the estimation based on each base station, location estimation device 316 can use the uncertain value of the data point calculation in the set of the position receiving.The further details of filtering outlier will be described referring to Fig. 5.Position estimator 306 can comprise parameter estimator 317.Can utilize parameter estimator 317 to come the overlay area length of calculation base station and the signal transmission scope of base station.
Base station information table 308 can be database or data storage bank.Base station information table 308 can comprise the list for the position data of each base station.Position data for each base station can comprise the geographical position of identifier information, base station, the overlay area length of the uncertainty value in each geographical position, base station and the signal transmission scope of base station.The identifier information associated with cell tower can comprise community global identifier, such as MCC, MNC, LAC and cell identifier (cell i d); The identifier information being associated with access point can comprise MCC and MAC Address.Can be about system 300 local or trustship base station information table 308 remotely.
Fig. 4 illustrates for determining the flow chart of operation 400 of position of the estimation of base station.System 300 with reference to executable operations 400 is described process 400.
402, system 300 can be from being for example that the mobile device of enabling the mobile device of GNSS receives data, and the data of reception are stored in ephemeral data storage vault 321.Mobile device can be the mobile device such as the mobile device 104 of describing in Fig. 2, and this mobile device 104 can be carried out access scan operation to detect by the viewed a plurality of base stations of mobile device.Data point in the data that receive can comprise: the position of the mobile device for example, being associated with the identifier (, community global identifier or MAC Address) of base station and the RSSI value of measuring at mobile device place.The position of mobile device can represent with latitude coordinate and the longitude coordinate of mobile device.In some embodiments, the position of mobile device can comprise the height coordinate of mobile device.
404, system 300 can be identified in each base station of the base station of the communication range that mobile device is arranged in.Each base station in base station can comprise at least one in cell tower, access point or bluetooth equipment.For example, mobile device can be positioned at the communication range of cell tower.In addition, mobile device 104 can be positioned at the communication range of access point.Mobile device can pass through community global identifier (for example, MCC, MNC, LAC and cell i d) identification cell tower.Mobile device can be identified in the wireless communication protocol that uses in WLAN (for example, the access point under IEEE802.11n).Can for example, with MAC Address or other identifiers (, bluetooth identifier), identify access point.System 300 can determine whether to upgrade with base station the base station information table 308 of (or establishment) trustship in system 300.Before can comprising, base station information table 308 is received from the record of the base station data of mobile device.
404, system 300 can determine in the record of base station information table 308, whether to comprise the detected base station of mobile device.System 300 can be carried out searching base station information table 308 by the identifier information of the base station of the communication range being positioned at mobile device.As example, the information being associated with access point can comprise MCC and MAC Address.System can be used MCC and/or MAC in base station information table 308, to classify by canned data.As another example, the information being associated with cell tower can comprise MCC, MNC, LAC and cell i d.System 300 can be classified canned data in base station information table 308 with MCC, MNC, LAC and/or cell i d.If do not comprise this base station in the record of base station information table 308, system 300 can determine that this record need to create in base station information table 308.If the record at base station information table 308 comprises this base station, system 300 can determine that base station information table 308 need to upgrade this record.
If system 300 (404) does not find this information in base station information table 308, system 300 (406) can be stored in the data of reception in historical data storage vault 323.408, system 300 can ask location estimation device 316 to determine the uncertainty value in the base station location of estimation and the geographical position of estimation.Can using adaptability two stage process (adaptive two-level process) carry out calculating.The further details of this two stage process will be described referring to Fig. 5.For example, although additional information (, being received from the RSSI of current base station) can be assisted the calculating in geographical position, this information is also nonessential in calculating.
410, system 300 can required parameter estimator the 317 overlay area length of determining base stations.Can be by using the Bounding Box process being associated in the 408 determined geographical position of estimating with base station to carry out this calculating.Can use extreme point to determine that Bounding Box is as rectangular area, this rectangular area comprises the estimation geographical position as the base station at center.Can calculate with the receiving position of mobile device the extreme point (for example, the point in east side, west side, north side and southern side) in the border of Bounding Box, the receiving position of this mobile device can be configured to four groups of coordinates.For example, Bounding Box can have circle, the north and the south bound of being described by the latitude coordinate in the geographical position of base station, located therein receiving position latitude coordinate percent 95.Bounding Box can have the circle, Jie He west, east of being described by the longitude coordinate in the geographical position of base station accordingly, located therein receiving position longitude coordinate percent 95.Overlay area length can be with two extreme points in Bounding Box between the corresponding length of the longest distance.Distribution Pattern based on receiving position (for example, receive the quantity of data, receive the density of data, and the concentrated area in base station), overlay area length can be different because of base station.In some embodiments, overlay area length can be enough little at mobile device high concentration place.Parameter estimator 317 can also be determined the signal transmission scope of base station.Can be by using the statistics tolerance interval being associated with the RSSI value set of measuring at mobile device place to carry out this calculating.The distribution of supposing the RSSI value in receiving set can be to comprise with average RSSI value Gaussian Profile on an average, and the percentage of RSSI value (for example, RSSI value percent 95) can be configured to tolerate interval.Signal transmission scope can be the value corresponding with minimum RSSI value, and in this value, percent 95 of RSSI value is measured.
412, system 300 can request msg index module 312 to create the record of the position data of base station in base station information table 308.Position data can comprise the geographical position of the estimation of identifier information, base station, the uncertainty value in the geographical position of estimation, the signal transmission scope of the overlay area length of base station and base station.In addition, base station information table 308 can record additional information, comprises quantity and the timestamp of received data.
404, if system 300 can find this information in base station information table 308, system 300 can send the data that receive from mobile device to the first data filter 313.405, system 300 can be got rid of at least one data point based on following two from receive data: (1) is stored in the previous definite overlay area length being associated with base station in base station information table 308, and (2) are stored in the previous definite transmission signal strength being associated with base station in base station information table 308.
In order to filter reception data, system 300 can ask location sets that the first data filter 313 determines mobile devices whether by circle around region in.The geographical position of the previous estimation being associated with base station can be designated as Gai Yuan center.Gai Yuan center does not need to coincide with the physical geographical position of base station.The first data filter 313 can be calculated the distance between the geographical position of the previous estimation of base station and each geographical position from the location sets of mobile device reception and confirm one or more outliers.Outlier can be the position that mobile device is arranged in the geographical position previously estimated with base station location sets farthest.Half the outlier that surpasses radius coverage area or overlay area length to the distance at center can be got rid of from set.
System 300 can further ask the previously definite signal transmission scope of the first data filter 313 bases to get rid of at least one position from outlier set.In some embodiments, the first data filter 313 can be got rid of the position of mobile device in following set, and the RSSI value of this set is associated with the signal transmission scope that surpasses previously definite signal transmission scope.If in previously definite overlay area length and previously definite signal transmission scope, the first data filter 313 can send data to data combiner 314 with the position of the mobile device of RSSI value mark.Otherwise the first data filter 313 can store data in bad data storage vault 322, it can periodically be deleted.
407, system 300 can request msg combiner 314 merge the data of filtration and the historical data being stored in historical data storage vault 324.The data of filtering can be the reception data of being filtered by the first data filter 313.The data point of the filtration for example, being associated with base station (, access point) can comprise identifier (for example, MAC Address).In some embodiments, the data point of filtration can also comprise that relevant mobile device is positioned at what country (for example, information MCC).The MCC that data combiner 314 can be associated by the data about with filtering and/or the information of MAC are come from historical data storage vault 324 classification historical datas.The data that merge can be stored in historical data holder 324 to update stored in the historical data in historical data holder 324.Data combiner 314 can send the data that merge to the second data filter 315.
409, previous definite signal transmission scope that system 300 can the base station based on being stored in base station information table 308 be associated is got rid of at least one data point from the data that merge.In order to filter the data of merging, system 300 can ask the second data filter 315 to determine whether the RSSI value of the location sets of mobile device is associated with the signal transmission scope that exceeds previously definite signal transmission scope.The second data filter 315 can be identified one or more outliers.Outlier can be the position of mobile device in the data that merge, and it may be positioned at the previous base station location of estimating of distance position farthest.
411, system 300 can ask the data of position estimator 316 based on filtering to determine base station location.The data of filtering can be the data of the merging of being filtered by the second data filter 315.Position estimator 316 can be based on estimating the geographical position of base station calculate uncertain value.For example, although additional information (, the RSSI receiving from base station) can be assisted, calculate this geographical position, this information is also nonessential in calculating.Can carry out base station location by using adaptability Secondary process calculates.Further details to this Secondary process is being described below in connection with Fig. 5.
413, system 300 can required parameter estimator the 317 overlay area length of determining the renewal of base stations.The Bounding Box process being associated with the geographical position of the base station of estimating can be used to estimate overlay area length.Extreme point can be determined to Bounding Box as rectangular area, this rectangular area comprises the estimation geographical position as the base station at center.Can use in the position of the mobile device of 407 merging and calculate the extreme point (for example, the point in east side, west side, north side and southern side) in the border at Bounding Box.Suppose that distribution in the position of the mobile device of 407 merging can be the Gaussian Profile on an average of geographical position of the base station that comprises estimation, the percentage of position (for example, position percent 95) can be used to determine that four groups of coordinates are as extreme point.For example, Bounding Box can correspondingly have circle, the north and the south bound of being described by the latitude coordinate in the geographical position of base station, located therein the position in 407 merging position latitude coordinate percent 95.Bounding Box can correspondingly have the circle, Jie He west, east of being described by the longitude coordinate in the geographical position of base station, located therein the position in 407 merging position longitude coordinate percent 95.Overlay area length can be with two extreme points in Bounding Box between the corresponding length of longest distance.
Parameter estimator 317 can also be determined the signal transmission scope of the renewal of base station.The statistics tolerance interval being associated with the set of the RSSI value of measuring at mobile device place can be used to estimate signal transmission scope.The distribution of supposing the RSSI value in 407 merging position can be to comprise with average RSSI value Gaussian Profile on an average, and it is interval that the percentage of RSSI value (for example, RSSI value percent 95) can be configured to tolerance.Signal transmission scope can be the value corresponding with minimum RSSI value, merges the percent 95 measured of RSSI value in position in this value.
415, system 300 can request msg index module 312 updates stored in the record of the position data of the base station in base station information table 308.Position data can comprise identifier information, base station estimation geographical position, estimate that the uncertainty value in geographical position is, the signal transmission scope of the overlay area length of base station, base station.In addition, base station information table 308 can record additional information, comprises quantity and the timestamp of the data of reception.
Fig. 5 shows and uses the receiving position of mobile device 104 for the flow chart of the example of the operation of the adaptability Secondary process of the estimated position of definite base station.For convenient, operation 500 systems with reference to executable operations 500 are described.
502, system can be carried out for determining the first order process of the estimated position of base station.System can be carried out with the receiving position of mobile device the first mean place of calculation base station, and it can be rough position.The position of mobile device can be represented by geographical coordinate, and this geographical coordinate comprises latitude coordinate and longitude coordinate.In some embodiments, the geographical coordinate of mobile device can comprise height coordinate.Calculate the first mean place and can comprise the latitude of the position in set of computations and the mean value of longitude, and the position that specifies in calculated mean latitude and longitude is as the first mean place.In some embodiments, calculate the mean value that the first mean place can comprise the height that calculates the position in set, make mean place can comprise calculated average height.
504, system can be used the mean longitude of calculating the position of mobile device is assigned to a subset of two or more subsets.The mean longitude coordinate calculating can be threshold value.The longitude coordinate that system can be assigned to the position of mobile device the position of its mobile device surpasses the subset of threshold value.The longitude station that system can be assigned to the position of mobile device the position of its mobile device does not surpass another subset of this threshold value.Each subset can comprise some positions of mobile device.Each position of mobile device all can mark base station RSSI value.
506, system can all measures of closeness sums based in each subset be got rid of at least one subset from subset.Each position of mobile device in subset can comprise measures of closeness.In some embodiments, measures of closeness can be by using the RSSI measuring at mobile device place to determine.In some embodiments, measures of closeness can be determined by the distance between mobile device and base station.In some embodiments, measures of closeness can be by being used determine the two-way time of the signal between mobile device and base station.Measures of closeness need to be corresponding to the physical distance between mobile device and base station.Measures of closeness can be as the initial measurement at mobile device measured RSSI from base station.In calculating measures of closeness, the higher RSSI receiving from base station at mobile device can provide larger measures of closeness.All measures of closeness sums in each subset can be by being used following formula to calculate:
S wherein
iat the measured RSSI of the position of mobile device i;
the mean value of RSSI value; I=1 ..., N is the quantity of the position of the mobile device in each subset; And f is the constant ratio factor.It is the subset of smaller value that system can be got rid of its measures of closeness sum between mobile device and base station.In this one-level of Secondary process, system can increase the accuracy in the estimation geographical position of base station by the following method, the method got rid of seem away from the physical geographical position of base station and may be on the geographical position of estimating base station the position of so useful mobile device not.
508, system can be carried out for determining the second level process of the estimated position of base station.System can be carried out the second mean place of calculation base station with the position of the mobile device in selected subset, it can be more accurate position.
510, system can be assigned to the position of the mobile device in selected subset a sub-subset of two or more subsets with the mean latitude calculating.The mean latitude coordinate calculating can be threshold value.The latitude coordinate that system can be assigned to the position of the mobile device in selected subset the position of its mobile device surpasses the subset of threshold value.The latitude coordinate that system can be assigned to the position of the mobile device in selected subset the position of its mobile device does not surpass another sub-subset of this threshold value.Every subset can comprise some positions of mobile device.Each position of mobile device can mark base station RSSI value.
512, system can be got rid of at least one sub-subset according to all measures of closeness sums in every subset from subset.Each position of mobile device in subset can comprise measures of closeness.All measures of closeness sums in every subset can be by being used formula (1) to calculate.System can be got rid of the subset that its measures of closeness between mobile device and base station is smaller value.In this one-level of Secondary process, system can further increase the accuracy in the estimation geographical position of base station by the following method, the method got rid of seem away from the physical geographical position of base station and may be on the geographical position of estimating base station the position of so useful mobile device not.
514 and 516, system can use the position of the mobile device in selected subset to estimate base station location.Location estimation can comprise each the location assignment weight to 514 mobile device, and the position of 516 weighting is averaging to determine the geographical position of the renewal of base station.To each location assignment weight, can comprise each dimension of the position in selected subset and longitude are assigned to weight.The distance of the more accurate position that the weight of position can be calculated by the second level process by 508 is determined.Till calculating on average, can comprise the mean value of dimension of weighting and the mean value of the longitude of weighting that calculates the position in selected subset, and the position of the mean longitude of the mean latitude calculating and calculating is appointed as to the geographical position of estimation.The geographical position of estimating need to be corresponding to the physical geographical position of base station.When service range weighting position, between mobile device and base station, larger distance can provide the lower weight of the position of mobile device.The weight of the position of mobile device can be by being used following formula to measure:
W=-10log
10d
i-10log
10d
max (2)
D wherein
ibe mobile device in position i and the distance between the 508 more accurate positions of calculating, and d
maxit is maximum range value.
System can be based in 506 selected subsets the position of mobile device, by application circular error probability (CEP) theory, come 95% radius in the estimation geographical position of calculation base station to determine the uncertainty of the estimation being associated with the estimation geographical position of base station.The Distribution Pattern of the position based in 506 selected subsets (for example, the quantity of position, the density of position, and the concentrated area, position of base station), uncertain value can be different because of base station.In some embodiments, uncertain value can be enough little at mobile device high concentration place.
As implemented in one or more computer programs with reference to the described feature of figure 1-5, this computer program is performed by treatment system, comprises that the programmable processor of at least one and data-storage system coupling is to receive data and instruction and to send data and instruction at least one output equipment from least one input equipment.Computer program be can be used in computer to carry out some by (directly or indirectly) movable or bring the instruction set of particular result.Computer program (for example can be written as any type of programming language, Java, Objective-C), comprise compiler language or interpreted languages, and can be deployed as any form, comprise as stand-alone program or as module, assembly, network application or other unit that is suitable for using in computing environment based on browser.
These features can be performed in computer system, this computer system (for example can comprise aft-end assembly, data server), or (for example can comprise middleware component, application server), or can comprise front end assemblies (for example, thering is the computer of graphic user interface or explorer), or their combination in any.The assembly of system can be connected by arbitrary form or the medium of data communication network.In some embodiments, communication network can comprise the network of LAN, WAN and computer and formation internet.
Computer system can comprise user side and server end.User side and server end come by network conventionally away from each other and conventionally alternately.The contact of user side and server end is by operating on corresponding computer and having the computer program that client-server end connects each other and promote.
Below with details, described some execution modes, and various modification is all possible.Although this specification comprises many features, these should not be understood to the restriction to the protected scope of meeting, and are interpreted as only limiting to the description of the feature of specific embodiment.The independently execution mode of some feature of describing in this context can also be combined as single execution mode and implement.On the contrary, the various features of the single execution mode described in context can also be embodied as a plurality of independently execution modes or be embodied as the sub-portfolio of any appropriate.In addition, although feature can be described to the above even initial just so requirement of working in some combination, one or more features in desired combination can be removed in some cases from combination, and desired combination can be directed to the variation of sub-portfolio or sub-portfolio.
Similarly, although with particular order, described operation in the accompanying drawings, this be not appreciated that need to shown in specific order or carry out such operation or carry out all illustrated operations with order successively and reach desirable result.In some situation, multitask and parallel processing can be favourable.In addition, in execution mode described above, the separation of various system components is not appreciated that and in all execution modes, all needs such separation.Other execution mode drops in the scope of appending claims.